# Add the Java and JRE paths to the $PATH environments.
export set PATH=$PATH:/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.45.x86_64:/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.45.x86_64/jre
# Add the $JAVA_HOME and $JRE_HOME environment variables.
export set JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.45.x86_64/
export set JRE_HOME=/usr

Having started Cassandra as the cassandra user, I
connected to the Cassandra Query Language Shell
(cqlsh) …

Continuent are pleased to announce the release of Tungsten
Replicator and Tungsten Clustering 5.2.0

This release is one of our most exciting new releases for a
while, as it contains some significant new features and lays the
groundwork for some additional new functionality in the upcoming
5.3.0 and 6.0 releases due later this year.

In particular, this release includes the following new features:

New replicator filtering environment to make filtering
quicker and easier to use, and more flexible

New filter configuration standard for new filters

New filter to make replication out of a cluster easier

New filters for filtering events and data

New applier for sending Apache Kafka messages directly from
an incoming data stream

New applier for adding incoming records directly to
Elasticsearch for indexing

The place is still frantic here at Percona
Live 2017 as everybody tries to squeeze in a few more talks
before the end of the day. One such talk was given by Red Hat’s
Stefan Negrea on Hawkular Metrics.

Hawkular Metrics is a scalable, long-term, high-performance
storage engine for metric data. The session was an overview of
the project that includes the history of the project, an
overview of the Hawkular ecosystem, technical details of the
project, developer features and APIs and third party
integrations.

Hawkular Metrics is backed by Cassandra for scalability. Hawkular
Metrics is used and exposed by Hawkular Services.The API uses
JSON to communicate with clients.

via GIPHY I was just reading over StackOverflow’s 2017 Developer
survey. As it turns out there were some surprising findings. Join
33,000 others and follow Sean Hull on twitter @hullsean. One that
stood out was databases. In the media, one hears more and more
about NoSQL databases like Cassandra, Dynamo & Firebase.
Despite all that … Continue reading What engineering roles are most
in demand at startups? →

The Netflix member experience is offered to 83+ million global
members, and delivered using thousands of microservices. These
services are owned by multiple teams, each having their own build
and release lifecycles, generating a variety of data that is
stored in different types of data store systems. The Cloud
Database Engineering (CDE) team manages those data store systems,
so we run benchmarks to validate updates to these systems,
perform capacity planning, and test our cloud instances with
multiple workloads and under different failure scenarios. We were
also interested in a tool that could evaluate and compare new
data store systems as they appear in the market or in the open
source domain, determine their performance characteristics and
limitations, and gauge whether they could be used in production
for relevant use cases. For these purposes, we wrote Netflix Data
Benchmark …

Trove is used for self service provisioning
and lifecycle management for relational and non-relational
databases in an OpenStack cloud. Trove provides a RESTful API
interface that is same regardless of the type of database.
CLI tools and a web UI via Horizon are also provided wrapping
Trove API requests.

Addition of support for Apache Cassandra and DataStax
Enterprise extends Pythian’s leadership in extreme-scale database
deployments and big data services

OTTAWA, Canada – July 8, 2015 – Pythian, a
global IT services company specializing in helping companies
leverage disruptive technologies to optimize revenue-generating
systems, today announced the general availability of its
consulting and follow-the-sun managed services support for both
Apache™ Cassandra™ and DataStax®, the company that delivers
Apache Cassandra to the enterprise. Cassandra is an open-source,
distributed database management system designed to handle large
amounts of data across many commodity servers, providing high
availability with no single point of failure.

Pythian leverages an extensive suite of managed services, tools,
and database experience to get organizations up and running in
their Cassandra and …

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